Subhojyoti Mukherjee

46 papers A* 6A 5Misc 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Survey on LLM-based Conversational User Simulation. EACL (Volume 1: Long Papers) Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026	J	`jnl`	Agentic Planning with Reasoning for Image Styling via Offline RL. CoRR Subhojyoti Mukherjee, Stefano Petrangeli, Branislav Kveton, Trung Bui, Franck Dernoncourt, Arko Mukherjee
2026	J	`jnl`	Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis. CoRR Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du
2026	J	`jnl`	InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions. CoRR Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2026	J	`jnl`	Partial Policy Gradients for RL in LLMs. CoRR Puneet Mathur, Branislav Kveton, Subhojyoti Mukherjee, Viet Dac Lai
2026	J	`jnl`	Reasoning-Based Personalized Generation for Users with Sparse Data. CoRR Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026	J	`jnl`	Stepwise Credit Assignment for GRPO on Flow-Matching Models. CoRR Yash Savani, Branislav Kveton, Yuchen Liu, Yilin Wang, Jing Shi, Subhojyoti Mukherjee, Nikos Vlassis, Krishna Kumar Singh
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
2025	—	`conf`	A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. ICCVW Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2025	J	`jnl`	A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. CoRR Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2025	—	`conf`	From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025	J	`jnl`	From Selection to Generation: A Survey of LLM-based Active Learning. CoRR Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025	J	`jnl`	Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. CoRR Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton
2025	J	`jnl`	Learning to Reason in LLMs by Expectation Maximization. CoRR Junghyun Lee, Branislav Kveton, Sunav Choudhary, Subhojyoti Mukherjee, Anup B. Rao, Ryan A. Rossi, Alexa Siu
2025	A*	`conf`	Logits are All We Need to Adapt Closed Models. ICML Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo
2025	J	`jnl`	Logits are All We Need to Adapt Closed Models. CoRR Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo
2025	J	`jnl`	MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces. CoRR Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton
2025	J	`jnl`	StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos. CoRR Daeun Lee, Subhojyoti Mukherjee, Branislav Kveton, Ryan A. Rossi, Viet Dac Lai, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Mohit Bansal
2024	J	`jnl`	Experimental Design for Active Transductive Inference in Large Language Models. CoRR Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton
2024	J	`jnl`	Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. CoRR Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta, Aniket Deshmukh, Branislav Kveton
2024	J	`jnl`	Off-Policy Evaluation from Logged Human Feedback. CoRR Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee
2024	J	`jnl`	Optimal Design for Human Feedback. CoRR Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton
2024	A*	`conf`	Optimal Design for Human Preference Elicitation. NeurIPS Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton
2024	J	`jnl`	Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak
2024	A	`conf`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2024	A*	`conf`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. ICML Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2024	J	`jnl`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2023	J	`jnl`	Efficient and Interpretable Bandit Algorithms. CoRR Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2023	J	`jnl`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2022	A	`conf`	Chernoff Sampling for Active Testing and Extension to Active Regression. AISTATS Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak
2022	A	`conf`	Nearly Optimal Algorithms for Level Set Estimation. AISTATS Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak
2022	J	`jnl`	ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	A	`conf`	ReVar: Strengthening policy evaluation via reduced variance sampling. UAI Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	J	`jnl`	Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits. CoRR Subhojyoti Mukherjee
2022	A	`conf`	Safety aware changepoint detection for piecewise i.i.d. bandits. UAI Subhojyoti Mukherjee
2021	Misc	`conf`	A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2021	J	`jnl`	Nearly Optimal Algorithms for Level Set Estimation. CoRR Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit K. Jain
2020	J	`jnl`	A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. IEEE J. Sel. Areas Inf. Theory Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2020	J	`jnl`	Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. CoRR Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak
2019	J	`jnl`	Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits. CoRR Subhojyoti Mukherjee, Odalric-Ambrym Maillard
2018	A*	`conf`	Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. AAAI Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017	J	`jnl`	Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates. CoRR Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017	A*	`conf`	Thresholding Bandits with Augmented UCB. IJCAI Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017	J	`jnl`	Thresholding Bandits with Augmented UCB. CoRR Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran